Update orthogonal.py
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@@ -32,15 +32,17 @@ class OrthogonalBlock(torch.nn.Module):
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# check dim is less than all the other dimensions
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if X.shape[self.dim] > min(X.shape):
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raise Warning(
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"The dimension where to orthogonalize is greater\
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than the other dimensions"
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"The dimension where to orthogonalize is greater"
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" than the other dimensions"
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)
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result = torch.zeros_like(X)
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# normalize first basis
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X_0 = torch.select(X, self.dim, 0)
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result_0 = torch.select(result, self.dim, 0)
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result_0 += X_0 / torch.norm(X_0)
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# iterate over the rest of the basis with Gram-Schmidt
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for i in range(1, X.shape[self.dim]):
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v = torch.select(X, self.dim, i)
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@@ -52,4 +54,5 @@ class OrthogonalBlock(torch.nn.Module):
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) * torch.select(result, self.dim, j)
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result_i = torch.select(result, self.dim, i)
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result_i += v / torch.norm(v)
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return result
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